INFOC8

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INFO C8 - Foundations of Data Science

School of Information Undergraduate INFO - School of Information

Subject

INFO

Course Number

C8

Course Level

Undergraduate

Formerly Known As

Computer Science C8/Statistics C8/Information C8

Course Title

Foundations of Data Science

Course Description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Minimum Units

4

Maximum Units

4

Grading Basis

Default Letter Grade; P/NP Option

Method of Assessment

Written Exam

Instructors

Staff

Prerequisites

This course may be taken on its own, but students are encouraged to take it concurrently with a data science connector course (numbered 88 in a range of departments).

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.

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Credit Restrictions.

Students will receive no credit for DATA C8\COMPSCI C8\INFO C8\STAT C8 after completing COMPSCI 8, or DATA 8.

Cross-Listed Course(s)

Formats

Laboratory, Lecture

Term

Fall and Spring

Weeks

15 weeks

Weeks

15

Lecture Hours

3

Lecture Hours Min

3

Lecture Hours Max

3

Lecture Mode of Instruction

In Person, Online

Laboratory Hours

2

Laboratory Hours Min

2

Laboratory Hours Max

2

Laboratory Mode of Instruction

In Person, Online

Outside Work Hours

7

Outside Work Hours Min

7

Outside Work Hours Max

7

Term

Summer

Weeks

8 weeks

Weeks

8

Lecture Hours

6

Lecture Hours Min

6

Lecture Hours Max

6

Lecture Mode of Instruction

In Person, Online

Laboratory Hours

4

Laboratory Hours Min

4

Laboratory Hours Max

4

Laboratory Mode of Instruction

In Person, Online

Outside Work Hours

14

Outside Work Hours Min

14

Outside Work Hours Max

14